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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Firebird vs TiDB

Firebird vs TiDB

OverviewComparisonAlternatives

Overview

Firebird
Firebird
Stacks83
Followers121
Votes9
GitHub Stars1.4K
Forks263
TiDB
TiDB
Stacks76
Followers177
Votes28
GitHub Stars39.3K
Forks6.0K

Firebird vs TiDB: What are the differences?

<Firebird vs TiDB>

1. **Data Model**: Firebird uses a relational database model, while TiDB employs a hybrid transactional/analytical processing (HTAP) model that combines features of traditional relational databases with horizontal scalability.
2. **Scalability**: Firebird is primarily designed for single-server deployments and may require sharding for scalability, whereas TiDB is built to scale out horizontally by adding more nodes to the cluster without the need for manual sharding.
3. **Consistency Model**: Firebird offers strong consistency where transactions are fully committed or fully aborted, while TiDB supports distributed transactions with ACID compliance across all nodes in the cluster.
4. **Storage Engine**: Firebird utilizes a traditional disk-based storage engine, whereas TiDB employs a distributed Key-Value storage model that is optimized for fast read and write operations in a distributed environment.
5. **Partitioning**: Firebird does not support native partitioning, making it challenging to manage large datasets efficiently, whereas TiDB includes built-in partitioning support to manage data across different partitions for improved performance and maintenance.
6. **High Availability**: Firebird requires manual configuration for achieving high availability through replication or clustering, whereas TiDB provides built-in high availability features like automatic failover and data redundancy to ensure continuous operation even in case of node failures.

In Summary, Firebird and TiDB differ in their data model, scalability, consistency model, storage engine, partitioning support, and high availability features, making them suitable for different types of applications and environments.

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Detailed Comparison

Firebird
Firebird
TiDB
TiDB

Firebird is a relational database offering many ANSI SQL standard features that runs on Linux, Windows, MacOS and a variety of Unix platforms. Firebird offers excellent concurrency, high performance, and powerful language support for stored procedures and triggers. It has been used in production systems, under a variety of names, since 1981.

Inspired by the design of Google F1, TiDB supports the best features of both traditional RDBMS and NoSQL.

-
Horizontal scalability;Asynchronous schema changes;Consistent distributed transactions;Compatible with MySQL protocol;Written in Go;NewSQL over TiKV;Multiple storage engine support
Statistics
GitHub Stars
1.4K
GitHub Stars
39.3K
GitHub Forks
263
GitHub Forks
6.0K
Stacks
83
Stacks
76
Followers
121
Followers
177
Votes
9
Votes
28
Pros & Cons
Pros
  • 3
    Open-Source
  • 3
    Free
  • 1
    Upgrade from MySQL, MariaDB, PostgreSQL
  • 1
    Great Performance
  • 1
    Easy Setup
Cons
  • 2
    Speed
Pros
  • 9
    Open source
  • 7
    Horizontal scalability
  • 5
    Strong ACID
  • 3
    HTAP
  • 2
    Mysql Compatibility

What are some alternatives to Firebird, TiDB?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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